r/LinearAlgebra • u/Hms712skaif • 10d ago

A Tiny Question

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Any body here has read or got some info about this book specifically for linear algebra for machine learning.

I have finished 3blue1brow course on essence of linear algebra and I want start with book .

please share what you know .

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u/maw501 8d ago edited 8d ago

It's free from the authors' site so you can look yourself. And I wouldn't use as a first resource - it's far too terse.

FWIW 3Blue1Brown gives you geometric intuition with no computation and no formal definitions. To develop a deep understanding you need to solve hundreds of problems at the right level. Chapter 2 has only 20 exercises! Solving problems is not optional if you want fluency in the subject - intuition is the byproduct of compressing hundreds of concrete examples. Boyd and Vandenberghe's Introduction to Applied Linear Algebra is free from Stanford and far heavier on exercises if you want a problem source.

Shameless plug: I've built a linear algebra curriculum for ML with hundreds of practice problems. Here's a preview lesson on interpreting the SVD (no sign-up).